Rajen Subba
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 15
- Topic Modeling 15
- Speech and dialogue systems 7
- Semantic Web and Ontologies 4
- Advanced Graph Neural Networks 2
- Multi-Agent Systems and Negotiation 2
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- Web Data Mining and Analysis 1
- Co-authors
- Seungwhan Moon (5 shared papers)Pararth Shah (4 shared papers)Anuj Kumar (2 shared papers)Barbara Di Eugenio (7 shared papers)Michael White (2 shared papers)Anusha Balakrishnan (2 shared papers)Jinfeng Rao (2 shared papers)Nicholas Green (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Rajen Subba
18 papers receiving 373 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 371
- Computer Vision and Pattern Recognition 83
- Information Systems 60
- Statistical and Nonlinear Physics 18
- Communication 6
Countries citing papers authored by Rajen Subba
This map shows the geographic impact of Rajen Subba's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rajen Subba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajen Subba more than expected).
Fields of papers citing papers by Rajen Subba
This network shows the impact of papers produced by Rajen Subba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rajen Subba. The network helps show where Rajen Subba may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajen Subba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 181 | |
| 2 | 2009 | 58 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 40 | |
| 5 | Automatic Discourse Segmentation using Neural Networks | 2007 | 17 |
| 6 | 2013 | 14 | |
| 7 | 2019 | 11 | |
| 8 | 2013 | 10 | |
| 9 | 2006 | 8 | |
| 10 | 2019 | 8 | |
| 11 | Discourse Parsing: Learning FOL Rules based on Rich Verb Semantic Representations to automatically label Rhetorical Relations | 2006 | 3 |
| 12 | 2006 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2019 | 2 | |
| 15 | Exploiting Event Semantics to Parse the Rhetorical Structure of Natural Language Text | 2007 | 1 |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 | |
| 18 | Discourse parsing: a relational learning approach | 2008 | 1 |
About Rajen Subba
Rajen Subba is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 18 papers that have together received 403 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers), Speech and dialogue systems (7 papers), Semantic Web and Ontologies (4 papers), Multimodal Machine Learning Applications (2 papers), Advanced Graph Neural Networks (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (371 citations), Computer Vision and Pattern Recognition (83 citations), Information Systems (60 citations), Statistical and Nonlinear Physics (18 citations) and Communication (6 citations). Rajen Subba has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Seungwhan Moon, Pararth Shah, Anuj Kumar, Barbara Di Eugenio, Michael White, Anusha Balakrishnan, Jinfeng Rao, Nicholas Green, Zhenpeng Zhou and Zhiguang Wang. Their work appears in journals such as Language Resources and Evaluation and North American Chapter of the Association for Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.